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There exist many problem domains where the interpretability of neural network models is essential for deployment. Here we introduce a recurrent architecture composed of input-switched affine transformations - in other words an RNN without…

人工智能 · 计算机科学 2017-06-14 Jakob N. Foerster , Justin Gilmer , Jan Chorowski , Jascha Sohl-Dickstein , David Sussillo

Recurrent neural networks have gained widespread use in modeling sequential data. Learning long-term dependencies using these models remains difficult though, due to exploding or vanishing gradients. In this paper, we draw connections…

机器学习 · 统计学 2019-02-27 Bo Chang , Minmin Chen , Eldad Haber , Ed H. Chi

The linear Einstein-Boltzmann equations describe the evolution of perturbations in the universe and its numerical solutions play a central role in cosmology. We revisit this system of differential equations and present a detailed…

广义相对论与量子宇宙学 · 物理学 2017-10-04 Sharvari Nadkarni-Ghosh , Alexandre Refregier

Einstein originally proposed a nonsymmetric tensor field, with its symmetric part associated with the spacetime metric and its antisymmetric part associated with the electromagnetic field, as an approach to a unified field theory. Here we…

广义相对论与量子宇宙学 · 物理学 2018-03-14 J. R. van Meter

We establish an algorithm that produces a new solution to the Einstein field equations, with an anisotropic matter distribution, from a given seed isotropic solution. The new solution is expressed in terms of integrals of known functions,…

广义相对论与量子宇宙学 · 物理学 2007-05-23 S. D. Maharaj , M. Chaisi

Although the traditional form of the Einstein field equations is intrinsically four-dimensional, the field of numerical general relativity focuses on the reformulation of these equations as a 3 + 1-dimensional Cauchy problem, in which…

广义相对论与量子宇宙学 · 物理学 2021-10-19 Jonathan Gorard

The possibility has been recently demonstrated to manufacture (nonrelativistic, Hamiltonian) many-body problems which feature an isochronous time evolution with an arbitrarily assigned period $T$ yet mimic with good approximation, or even…

广义相对论与量子宇宙学 · 物理学 2014-05-07 Fabio Briscese , Francesco Calogero

A class of stationary rigidly rotating perfect fluid coupled with non-linear electromagnetic fields was investigated. An exact solution of the Einstein equations with sources for the Carter B(+) branch was found, for the equation of state…

广义相对论与量子宇宙学 · 物理学 2007-05-23 Humberto Salazar , Ruben Cordero

We construct new homogeneous Einstein spaces with negative Ricci curvature in two ways: First, we give a method for classifying and constructing a class of rank one Einstein solvmanifolds whose derived algebras are two-step nilpotent. As an…

微分几何 · 数学 2007-05-23 Carolyn S. Gordon , Megan M. Kerr

We present exact solutions of the gravitational field equations in the generalized Randall-Sundrum model for an anisotropic brane with Bianchi type I and V geometry, with perfect fluid and scalar fields as matter sources. Under the…

高能物理 - 理论 · 物理学 2009-11-07 Chiang-Mei Chen , T. Harko , M. K. Mak

We study time-dependent compactification of extra dimensions. We assume that the spacetime is spatially homogeneous, and solve the vacuum Einstein equations without cosmological constant in more than three dimensions. We consider globally…

广义相对论与量子宇宙学 · 物理学 2025-02-14 Yuichiro Sato , Takanao Tsuyuki

By using Bianchi I type of homogenous and anisotropic background metric having cylindrical symmetry in $x$ direction of a local cartesian coordinates system, we solve metric field equations for a non-minimally coupled Einstein-Maxwell…

广义相对论与量子宇宙学 · 物理学 2020-12-08 Hossein Ghaffarnejad , Hoda Gholipour

When solving the equations of General Relativity in a symmetric sector, it is natural to consider the same symmetry for the geometry and stress-energy. This implies that for static and isotropic spacetimes, the most general natural…

广义相对论与量子宇宙学 · 物理学 2015-05-14 Tomasz Konopka

Recurrent neural networks (RNNs) have recently been extensively applied to model the time-evolution in fluid dynamics, weather predictions, and even chaotic systems thanks to their ability to capture temporal dependencies and sequential…

量子物理 · 物理学 2026-01-21 Alex P. Ning , Lingyu Yang , Gia-Wei Chern

Recent advancements in recurrent neural network (RNN) research have demonstrated the superiority of utilizing multiscale structures in learning temporal representations of time series. Currently, most of multiscale RNNs use fixed scales,…

机器学习 · 计算机科学 2019-02-18 Hao Hu , Liqiang Wang , Guo-Jun Qi

A nonstatic and circularly symmetric exact solution of the Einstein equations (with a cosmological constant $\Lambda$ and null fluid) in $2+1$ dimensions is given. This is a nonstatic generalization of the uncharged spinless BTZ metric. For…

广义相对论与量子宇宙学 · 物理学 2009-10-22 K. S. Virbhadra

We introduce compositional tensor trains (CTTs) for the approximation of multivariate functions, a class of models obtained by composing low-rank functions in the tensor-train format. This format can encode standard approximation tools,…

数值分析 · 数学 2025-12-23 Martin Eigel , Charles Miranda , Anthony Nouy , David Sommer

In this paper, we investigate the Randall-Sundrum type braneworld models in the scalar-tensor theory with field derivative coupling to the Einstein tensor. We first formulate the generalized junction conditions of the metric and the scalar…

广义相对论与量子宇宙学 · 物理学 2015-06-18 Masato Minamitsuji

(2+1)-regular static black hole solutions with a nonlinear electric field are derived. The source to the Einstein equations is an energy momentum tensor of nonlinear electrodynamics, which satisfies the weak energy conditions and in the…

高能物理 - 理论 · 物理学 2009-10-31 Mauricio Cataldo , Alberto Garcia

The simplest flavor of the Effective Field Theory of Large Scale Structure is based on Newtonian equations and describes the nonlinear matter density and velocity using Einstein-de-Sitter kernels. Even in the presence of massive neutrinos,…

宇宙学与河外天体物理 · 物理学 2026-05-07 Christian Fidler , Julien Lesgourgues , Antonia Mattes , Azadeh Moradinezhad Dizgah , Simon Neuland
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